WACV 2021 Open Access Repository

Autonomous Vehicle Vision

Reliability of GAN Generated Data to Train and Validate Perception Systems for Autonomous Vehicles: Weihuang Xu,

Nasim Souly,

Pratik Prabhanjan Brahma; [pdf] [supp]
[bibtex]
@InProceedings{Xu_2021_WACV, author = {Xu, Weihuang and Souly, Nasim and Brahma, Pratik Prabhanjan}, title = {Reliability of GAN Generated Data to Train and Validate Perception Systems for Autonomous Vehicles}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2021}, pages = {171-180} }
DriveGuard: Robustification of Automated Driving Systems With Deep Spatio-Temporal Convolutional Autoencoder: Andreas Papachristodoulou,

Christos Kyrkou,

Theocharis Theocharides; [pdf]
[bibtex]
@InProceedings{Papachristodoulou_2021_WACV, author = {Papachristodoulou, Andreas and Kyrkou, Christos and Theocharides, Theocharis}, title = {DriveGuard: Robustification of Automated Driving Systems With Deep Spatio-Temporal Convolutional Autoencoder}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2021}, pages = {107-116} }
Neural Vision-Based Semantic 3D World Modeling: Sotirios Papadopoulos,

Ioannis Mademlis,

Ioannis Pitas; [pdf]
[bibtex]
@InProceedings{Papadopoulos_2021_WACV, author = {Papadopoulos, Sotirios and Mademlis, Ioannis and Pitas, Ioannis}, title = {Neural Vision-Based Semantic 3D World Modeling}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2021}, pages = {181-190} }
Multi-Scale Voxel Class Balanced ASPP for LIDAR Pointcloud Semantic Segmentation: K. S. Chidanand,

Samir Al-stouhi; [pdf]
[bibtex]
@InProceedings{Chidanand_2021_WACV, author = {Chidanand, K. S. and Al-stouhi, Samir}, title = {Multi-Scale Voxel Class Balanced ASPP for LIDAR Pointcloud Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2021}, pages = {117-124} }
Automatic Virtual 3D City Generation for Synthetic Data Collection: Bingyu Shen,

Boyang Li,

Walter J. Scheirer; [pdf]
[bibtex]
@InProceedings{Shen_2021_WACV, author = {Shen, Bingyu and Li, Boyang and Scheirer, Walter J.}, title = {Automatic Virtual 3D City Generation for Synthetic Data Collection}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2021}, pages = {161-170} }
Weakly Supervised Multi-Object Tracking and Segmentation: Idoia Ruiz,

Lorenzo Porzi,

Samuel Rota Bulo,

Peter Kontschieder,

Joan Serrat; [pdf]
[bibtex]
@InProceedings{Ruiz_2021_WACV, author = {Ruiz, Idoia and Porzi, Lorenzo and Bulo, Samuel Rota and Kontschieder, Peter and Serrat, Joan}, title = {Weakly Supervised Multi-Object Tracking and Segmentation}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2021}, pages = {125-133} }
Domain Adaptive Knowledge Distillation for Driving Scene Semantic Segmentation: Divya Kothandaraman,

Athira Nambiar,

Anurag Mittal; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kothandaraman_2021_WACV, author = {Kothandaraman, Divya and Nambiar, Athira and Mittal, Anurag}, title = {Domain Adaptive Knowledge Distillation for Driving Scene Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2021}, pages = {134-143} }
Using Semantic Information to Improve Generalization of Reinforcement Learning Policies for Autonomous Driving: Florence Carton,

David Filliat,

Jaonary Rabarisoa,

Quoc Cuong Pham; [pdf]
[bibtex]
@InProceedings{Carton_2021_WACV, author = {Carton, Florence and Filliat, David and Rabarisoa, Jaonary and Pham, Quoc Cuong}, title = {Using Semantic Information to Improve Generalization of Reinforcement Learning Policies for Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2021}, pages = {144-151} }
Per-Frame mAP Prediction for Continuous Performance Monitoring of Object Detection During Deployment: Quazi Marufur Rahman,

Niko Sunderhauf,

Feras Dayoub; [pdf] [arXiv]
[bibtex]
@InProceedings{Rahman_2021_WACV, author = {Rahman, Quazi Marufur and Sunderhauf, Niko and Dayoub, Feras}, title = {Per-Frame mAP Prediction for Continuous Performance Monitoring of Object Detection During Deployment}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2021}, pages = {152-160} }